Macro–Micro Combined Texture Evolution Model for Hot Strip with High Reduction Rolling

Development of Recrystallization Texture Prediction Method Linking with Deformation Texture Prediction Model

“…D and W are calculated using the Orowan calculation model. 11,26) As a result, the lattice rotation spin tensor Ω Ω is indicated by Eqs. (13) and (14).…”

“…Parameters of Asaro rate-dependent rule were same as our previous report. 11) Here, is 100 and m is 0.05. We measured cold rolling texture of ultra low-carbon steel and hot rolling texture of ferritic stainless-steel by electron backscattering diffraction at the center in the thickness direction.…”

“…10) We previously reported a method of predicting the formation of deformation and transformation textures before. 11) Many mechanisms for the formation of the recrystallization tex-© 2012 ISIJ ture in steels have been proposed, including the oriented nucleation model, 12) oriented grain growth model, 13) dislocation pass model 14) and dislocation build-up model. 15) In other models, such as the crystal rotation model, 16,17) dislocation twist area model 18,19) and encroachment model, recrystallized grains encroach on non-recrystallized deformed grains.…”

Application of Recrystallization Texture Evolution Model to Type 430 Stainless-Steel Strip Production

“…D and W are calculated using the Orowan model. 19) As a result, the lattice rotation spin tensor is indicated by eqs. (14) and (15).…”

“…19,20) The texture prediction model was then applied to a new stainlesssteel strip of type 430 rolled at a low temperature with a high reduction rate in an actual tandem hot strip mill. Furthermore, the ridging index was calculated from the analyzed texture to predict the plasticity of ferritic stainless-steels.…”